Schedule for Data Lab Community Path in Machine Learning
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This document outlines the core topics in machine learning including foundational mathematics, supervised and unsupervised learning techniques, Python programming skills, and data mining methods. It groups these topics from basic to intermediate to advanced levels, covering essential mathematical and statistical concepts, core machine learning algorithms, optimization methods, and data processing strategies.
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2. The definition of a vector space as a set that can be added and multiplied by elements of a field, with properties like closure under addition and scalar multiplication.
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We reflect on whether JRR Tolkien’s Lord of the Rings Influenced by Nordic Mythology, Homer’s Iliad, and/or Catholicism:
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• How the Vikings in Iceland, including Snorri Sturluson, preserved the ancient pagan myths and culture after their conversion to Christianity.
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• Comparing Stoicism and Christianity.
• Inspiration for Tom Bombadil and Goldenberry.
• References to Peter Lombard, King Arthur, Achilles, crossing the Red Sea in Exodus, and Achilles battling the river god.
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Schedule for Data Lab Community Path in Machine Learning
- 1. Feature Engineering Feature Engineering Basic Mathematical Modules Linear Algebra/Regression Basic Probability Basic Optimization Methods Supervised Learning Basic Supervised Learning Intermediate Supervised Learning Advanced Supervised Learning Advanced Optimization Advanced Probability Unsupervised Learning Basic Unsupervised Learning Intermediate Unsupervised Learning Advanced Unsupervised Learning Python Data Structures Basic Python Data Mining Advanced Data Mining Basic Data Mining